Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Cuevas Velasquez, Hanz"'
Autor:
Niewiadomski, Tomasz, Yiannakidis, Anastasios, Cuevas-Velasquez, Hanz, Sanyal, Soubhik, Black, Michael J., Zuffi, Silvia, Kulits, Peter
The model-based estimation of 3D animal pose and shape from images enables computational modeling of animal behavior. Training models for this purpose requires large amounts of labeled image data with precise pose and shape annotations. However, capt
Externí odkaz:
http://arxiv.org/abs/2412.08101
Training methods to perform robust 3D human pose and shape (HPS) estimation requires diverse training images with accurate ground truth. While BEDLAM demonstrates the potential of traditional procedural graphics to generate such data, the training im
Externí odkaz:
http://arxiv.org/abs/2411.08663
Autor:
Cuevas-Velasquez, Hanz, Galán-Cuenca, Alejandro, Gallego, Antonio Javier, Saval-Calvo, Marcelo, Fisher, Robert B.
Publikováno v:
Pattern Analysis and Applications 27, 137 (2024)
Three-dimensional data registration is an established yet challenging problem that is key in many different applications, such as mapping the environment for autonomous vehicles, and modeling objects and people for avatar creation, among many others.
Externí odkaz:
http://arxiv.org/abs/2403.18040
Our work addresses the problem of egocentric human pose estimation from downwards-facing cameras on head-mounted devices (HMD). This presents a challenging scenario, as parts of the body often fall outside of the image or are occluded. Previous solut
Externí odkaz:
http://arxiv.org/abs/2401.14785
Publikováno v:
In Pattern Recognition October 2024 154
Publikováno v:
The 32nd British Machine Vision Conference (BMVC), 2021
We present an innovative two-headed attention layer that combines geometric and latent features to segment a 3D scene into semantically meaningful subsets. Each head combines local and global information, using either the geometric or latent features
Externí odkaz:
http://arxiv.org/abs/2111.00231
Visual servoing is a well-known task in robotics. However, there are still challenges when multiple visual sources are combined to accurately guide the robot or occlusions appear. In this paper we present a novel visual servoing approach using hybrid
Externí odkaz:
http://arxiv.org/abs/1803.02285
Publikováno v:
In Computers and Electronics in Agriculture April 2020 171
Autor:
Cuevas Velasquez, Hanz
3D scene understanding is an important area in robotics, autonomous vehicles, and virtual reality. The goal of scene understanding is to recognize and localize all the objects around the agent. This is done through semantic segmentation and depth est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______463::61b4368a0c09e0f90416c5951198f7a2
https://hdl.handle.net/1842/38801
https://hdl.handle.net/1842/38801